RLHF (Reinforcement Learning from Human Feedback) trains AI to produce outputs aligned with the HHH principle — Helpful (answer directly), Harmless (don’t spread misinformation), Honest (acknowledge uncertainty). This training makes AI systematically prefer objective, direct, evidence-based content.
How the Three H’s Affect GEO
Helpful → Answer the question without preamble
Annotators score “direct answers” higher than “lengthy build-up before getting to the point.”
GEO action: First paragraph IS the answer. Don’t open with “With the rapid development of the industry…”
Harmless → Don’t exaggerate or mislead
Annotators score objective information higher than exaggerated claims.
GEO action: “This method shows significant results under specific conditions” beats “This method perfectly solves all problems.”
Honest → Acknowledge limitations
Annotators score responses that admit uncertainty higher than “everything under control” responses.
GEO action: Note data scope and limitations. “Based on 2025 domestic market data; international conditions may differ” — this honesty actually increases AI trust.
Why Marketing Copy Systematically Loses
Marketing copy typically: doesn’t answer directly (too much preamble), exaggerates effects (“industry-leading,” “one-of-a-kind”), and doesn’t acknowledge limitations (“perfectly solves all needs”). These three traits violate all three H’s. AI doesn’t “dislike” marketing copy — its training simply favors the opposite style.
Further Reading
- Get AI to Speak for You: The Definitive Guide to GEO, Chapter 2, Section 2.5; Strategy 25
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